Scopus
YÖKSİS Eşleşti
Prediction of breast cancer using artificial neural networks
Journal of Medical Systems · Ekim 2012
YÖKSİS Kayıtları
Prediction of Breast Cancer Using Artificial Neural Networks
Journal of Medical Systems · 2011 SCI-Expanded 20 atıf
PROFESÖR İSMAİL SARITAŞ →
Makale Bilgileri
DergiJournal of Medical Systems
Yayın TarihiEkim 2012
Cilt / Sayfa36 · 2901-2907
Scopus ID2-s2.0-84867299673
Özet
In this study, an artificial neural network (ANN) was developed to determine whether patients have breast cancer or not. Whether patients have cancer or not and if they have its type can be determined by using ANN and BI-RADS evaluation and based on the age of the patient, mass shape, mass border and mass density. Though this system cannot diagnose cancer conclusively, it helps physicians in deciding whether a biopsy is required by providing information about whether the patient has breast cancer or not. Data obtained from 800 patients who were diagnosed with cancer definitively through biopsy. The definitive diagnosis corresponding to each patient and the data from ANN model results were investigated using Confusion matrix and ROC analyses. In the test data of the ANN model that was implemented as a result of these analyses, disease prediction rate was 90.5% and the health ratio was 80.9%. It is seen from these high predictive values that the ANN model is fast, reliable and without any risks and therefore can be of great help to physicians. © 2011 Springer Science+Business Media, LLC.
Yazarlar (1)
1
Ismail Saritas
Anahtar Kelimeler
Artificial neural network
BI-RADS
Breast cancer
Breast cancer prediction
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
61
Atıf
1
Yazar
4
Anahtar Kelime